Contents: 1. Introduction to Research and Bio-statistics in Pharmaceuticals. 2. Information Sources. 3. Literature Search. 4. Meta-Analysis. 5. Distinguishing Research Proposal, Research Report, Research Paper, Patent Document and Synopsis. 6. Detailed Contents of a Research Paper. 7. Clinical Trials and Clinical Study Design. 8. Principles of Experimental Designs. 9. Need of Sampling and Sampling Techniques. 10. Measurement and Scaling. 11. Scaling Techniques. 12. Introduction to Presentation of Data and Missing Data. 13. Statistics, Bio-statistics and their Relation to Distribution Trends. 14. Measures of Central Tendency and Variability 15. Standard Error, Confidence Level/Confidence Interval/Confidence Limits, Statistical Errors, Hypothesis. 16. Student ‘t’ Distribution and its Applications. 17. Chi-Square Distribution 18. F-Distribution (Variance Ratio) and ANOVA. 19. Non-Parametric Statistical Tests. 20. Sample Size Determination. 21. Introduction to Epidemiology. 22. Introduction to SAS, SPSS, Epi Info and Minitab. 23. Applications of SPSS, Epi Info and Minitab Softwares (Screen Shots). 24. Linear Regression, Correlation and Correlation Coefficient 25. Inventory Control. 26. Accountancy and Book Keeping. 27. Management Report. 28. Role of Computers in Healthcare System. 29. Parenterals Admixture. “Pharmaceutical Research Methodology and Bio-Statistics: Theory and Practice” is aimed in understanding the fundamental concepts of developing a research bent of mind by careful planning, execution, collection of data and analyzing for statistical significance. The book is aimed at B. Pharm, Pharm D, Pharm D (PB), M. Pharm, allied course students, researchers at the academic and industry levels, Ph. D scholars, policy makers, regulators etc. Key Features: Exclusively relating to pharmaceuticals. Conventional English. Distinguishing statistics and bio-statistics. How to identify a problem, plan for research and execute the idea. Chemical abstract literature search. Anatomy of a research paper. Compare and contrast of research proposal, research report, research paper, patent document, synopsis. Concept of meta-analysis to resolve research ambiguities. Classification of clinical study designs. Approaches of developing a research methodology. Abstract scaling concepts and techniques for developing questionnaire. Data collection, cleansing, presenting How to overcome missing data Parametric distributions - binomial, poisson, normal, chi-square, student 't', F distributions. Role of Type I and Type II errors, Power, sample size, confidence level, confidence interval, confidence limits. How to judge whether data upon analysis is statistical significant or not. Developing hypothesis as null, alternate and how to draw conclusion after conducting suitable statistical test. Non-parametric statistical test - Sign, Wilcoxon Signed rank, Wilcoxon rank sum tests. Parametric, Non-parametric ANOVAs (1-way, 2-way, cross over). Step wise Parametric and non-parametric problem solving. Statistical softwares like SPSS, SAS, Minitab, Epi-info with screenshots. Applications of linear regression and correlation coefficient relating to pharmaceuticals. Fundamental concepts of book keeping, accountancy, emphasizing on making entries in journal and ledger. Basic terminology of epidemiology. Inventory control. Developing a management report.